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这段视频探讨了亚马逊的SageMaker Canvas如何协助缺乏机器学习专业知识的商业用户在数据驱动决策方面取得进展。丹尼·史密斯展示了一个案例研究，讲述了制造质量工程师如何运用Canvas分析传感器数据并对产品质量故障进行预测。主要流程包括导入和探索数据、挑选需要预测的目标列、试运行预览模型、用自动化ML训练完整的模型、评估模型准确度、了解特征的重要性、对新数据进行预测以及与数据科学家分享模型

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Neil Colley: Uh my name is Neil Colley. I'm a worldwide principal uh go to market leader uh for Quicksight. And so I've been with uh Amazon and Quicksight for going on six years. And um it's been a, a

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Good afternoon, everyone. Today we are here to talk about the fascinating topic of cost. I'm sure every customer here cares about cost, whether you are a start up, an enterprise, or anything in betwee

Good afternoon, everybody and welcome. So today, we're gonna talk about enhancing your applications with Amazon QuickSight embedded analytics. My name is Jose Kleo. I lead the product team at Amazon Q

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